| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 01002 | |
| Number of page(s) | 6 | |
| Section | Big Data Analysis Application and Energy Consumption Research | |
| DOI | https://doi.org/10.1051/e3sconf/202021401002 | |
| Published online | 07 December 2020 | |
Research on cost management of wenzhou huafeng group co., LTD. Under the background of big data
Dalian university of science and technology, College of Economic and Managementline, dalian, liaoning
With the convergence of information technology and human production and life, as well as the rapid popularization of the Internet, the global data show an explosive growth. Accounting, especially cost management, is also closely related to external data. Therefore, the cost management also needs to apply the big data technology to realize its function and method synchronization optimization. This paper first USES the literature research method to sort out the relevant concepts and theories of enterprise cost management at home and abroad, then USES the data analysis method to analyze the current situation and main problems of wenzhou huafeng group co., ltd. in the cost management, and finally, combined with the background of big data, puts forward the corresponding countermeasures through the problems. In a word, through research and analysis, the problems and deficiencies in cost management of enterprises are found, and on the premise of the background of big data, Suggestions and countermeasures are put forward to solve the problems in cost management of enterprises.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.